Items where Author is "Lopez-Sanchez, M."
Article
Serramia Amoros, M. 
ORCID: 0000-0003-0993-024X, Rodriguez-Soto, M., Lopez-Sanchez, M. , Rodriguez-Aguilar, J. A., Bistaffa, F., Boddington, P., Wooldridge, M. & Ansotegui, C. (2023).
Encoding ethics to compute value-aligned norms.
Minds and Machines: journal for artificial intelligence, philosophy and cognitive sciences, 33(4),
pp. 761-790.
doi: 10.1007/s11023-023-09649-7
Serramia, M., Lopez-Sanchez, M., Moretti, S. & Rodriguez-Aguilar, J. A. (2023). Building rankings encompassing multiple criteria to support qualitative decision-making. Information Sciences, 631, pp. 288-304. doi: 10.1016/j.ins.2023.02.063
Rodriguez-Soto, M., Serramia, M. ORCID: 0000-0003-0993-024X, Lopez-Sanchez, M. & Antonio Rodriguez-Aguilar, J. (2022).
Instilling moral value alignment by means of multi-objective reinforcement learning.
Ethics and Information Technology, 24(1),
article number 9.
doi: 10.1007/s10676-022-09635-0
Serramia, M. ORCID: 0000-0003-0993-024X, Lopez-Sanchez, M., Moretti, S. & Rodriguez-Aguilar, J. A. (2021).
On the dominant set selection problem and its application to value alignment.
Autonomous Agents and Multi-Agent Systems, 35(2),
article number 42.
doi: 10.1007/s10458-021-09519-5
Conference or Workshop Item
Serramia Amoros, M. ORCID: 0000-0003-0993-024X, Lopez-Sanchez, M., Rodriguez-Aguilar, J. A. & Moretti, S. (2023).
Value alignment in participatory budgeting.
In:
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems.
The 23rd International Conference on Autonomous Agents and Multiagent Systems, 6-10 May 2024, Auckland, New Zealand.
Lera-Leri, R., Bistaffa, F., Serramia, M. ORCID: 0000-0003-0993-024X , Lopez-Sanchez, M. & Rodriguez-Aguilar, J. A. (2022).
Towards Pluralistic Value Alignment: Aggregating Value Systems through ℓp-Regression.
In:
AAMAS '22: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems.
AAMAS '22: 21st International Conference on Autonomous Agents and Multiagent Systems, 9-13 May 2022, Online.